Standard syllabus
Robotics (CS) · Graduate · CS / Programming
Topics
Kinematics and sensing
- Robot coordinate frames and forward/inverse kinematics (intro)
- Sensor models: LIDAR, cameras, IMU
- Calibration and noise models
- Occupancy grids and map representations
- State estimation: Kalman filters (intro)
Planning and control
- Configuration space and motion planning (RRT intro)
- PID control and trajectory tracking
- Behavior trees and finite state machines for robots
- Simulators: Gazebo/Webots (survey)
- Safety constraints and human-robot interaction (intro)
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.